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About NexarAssets

NexarAssets is a technology and financial intelligence company specializing in AI-driven market analysis, road intelligence, and next-generation talent development.

Brief History

Founded in 2015 by Eran Shir and Bruno Fernandez-Ruiz, NexarAssets began as a connected-vehicle safety startup, raising $4 million in seed funding. Its early dashcam platform and real-time hazard alerts gained rapid traction, leading to a $10.5 million Series A in 2016 and a $52 million Series C in 2020, backed by a syndicate of venture investors. Over time, the company expanded beyond mobility into broader AI research — eventually applying its data and modeling expertise to financial markets.

The AI Trading Division

Building on years of computer-vision and predictive-modeling experience, NexarAssets launched an internal AI Trading Division focused on:

  1. Market signal analysis — using machine learning to identify patterns across equities, commodities, and digital asset markets.
  2. -Automated risk modeling— AI agents that monitor portfolio exposure in real time and adjust positions based on volatility thresholds.
  3. -Algorithmic decision support — tools designed to assist (not replace) human analysts in evaluating trades.

Within this universe, the division operates as a research-driven trading desk rather than a public investment service, emphasizing internal capital strategy and proprietary modeling.

Talent & Research Investment Program

A defining feature of NexarAssets is its commitment to nurturing the next generation of technologists and analysts. The company runs a multi-track program that includes:

  1. - The NexarAssets Fellowship — a paid training pipeline for promising young developers, data scientists, and quantitative analysts.
  2. - University research partnerships — funded labs focused on computer vision, reinforcement learning, and applied AI ethics.
  3. -In-house mentorship tracks — top-performing students are recruited directly into engineering and research teams, working alongside senior staff on live projects.
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